Jacob Latz

P Texas Rangers

Age 31 LHP 6'2" / 185 lbs MLB peak 0.7 · 2027

Overview

MLBRP40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	28	MIX3 levels	54	1	54	4.19	4.67	22.1%	13.8%	-0.1	K 20.8% · BB 12.5% · FIP 4.52
2025	29	MIX2 levels	42	9	100	2.69	3.56	23.6%	11.1%	1.2	K 22.9% · BB 10.8% · FIP 3.56
2026	30	MLBTEX	58	1	72	2.12	2.54	30.6%	5.9%	1.7
2027PROJ	31	MLBTEX	60	0	63	3.61	3.71	26.9%	9.0%	0.6
2028PROJ95% MLB	32	MLBTEX	45	0	47	3.83	3.97	26.1%	9.4%	0.3
2029PROJ95% MLB	33	MLBTEX	34	0	36	4.08	4.25	25.2%	9.9%	0.1

Last 3 seasons WAR 2.9 · Next 3 projected WAR 1.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

K%90

xwOBA vs90

FB Velo54

Form2.86 ERA (proj 3.61) · K 36.0% (proj 26.9%) · BB 13.5% (proj 9.0%) ▲ last 90d · 22 IP through Oct 27

CompsJared Koenig (age 30) · George Sherrill (age 31) · Damaso Marte (age 31)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 7482vR 90

ERA3.61

FIP3.71

K%26.9%

BB%9.0%

K-BB%17.9%

Proj IP63

Value2027 · WAR

Runs saved vs league avg · 63 IP

Grades · Statcast · Contract

Scouting Grades

STUF5555

CTRL3535

CMD4040

K†6060

Statcast Percentiles

FB Velo

p5494.8

Whiff%

p9031.5%

p9030.6%

xwOBA vs

p900.253

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to the standard WAR scale.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2027 so far)
2017	21	ROK MLE	AZL Rangers	2	0	3	13	5	2	0	0%	1.3	38.5%	15.4%	23.1%	0.0%	6.75	1.80	—
2017	21	ROK RAW	AZL Rangers	2	0	3	13	5	2	0	0%	1.3	38.5%	15.4%	23.1%	0.0%	6.75	1.60	—
2019	23	MIX MLE	2 levels	13	13	61	239	74	25	2	100%	4.7	23.0%	12.6%	10.4%	1.1%	1.62	3.35	—
2019	23	MIX RAW	2 levels	13	13	61	239	74	25	2	100%	4.7	31.0%	10.5%	20.5%	0.8%	1.62	2.33	—
2021	25	MIX MLE	3 levels	23	20	101	437	123	44	17	87%	4.4	23.6%	11.4%	12.3%	3.7%	4.37	4.57	+1.0
2021	25	MIX RAW	3 levels	23	20	101	437	123	44	17	87%	4.4	28.1%	10.1%	18.1%	3.9%	4.37	4.16	+1.5
2022	26	AAA MLE	Round Rock Express	19	10	53	243	59	31	12	53%	2.8	21.4%	13.4%	8.0%	5.7%	5.77	6.11	—
2022	26	AAA RAW	Round Rock Express	19	10	53	243	59	31	12	53%	2.8	24.3%	12.8%	11.5%	4.9%	5.77	5.57	—
2023	27	MIX MLE	2 levels	49	5	70	288	92	32	5	10%	1.4	28.1%	9.8%	18.3%	2.0%	3.73	3.06	+1.2
2023	27	MIX RAW	2 levels	49	5	70	288	92	32	5	10%	1.4	31.9%	11.1%	20.8%	1.7%	3.73	2.77	+1.5
2024	28	MIX MLE	3 levels	54	1	54	240	53	33	7	2%	1.0	20.8%	12.5%	8.3%	2.9%	4.19	4.52	+0.0
2024	28	MIX MLE	3 levels	54	1	54	240	53	33	7	2%	1.0	20.8%	12.5%	8.3%	2.9%	4.19	4.52	+0.0
2024	28	MIX RAW	3 levels	54	1	54	240	53	33	7	2%	1.0	22.1%	13.8%	8.3%	2.9%	4.19	4.67	-0.1
2025	29	MIX MLE	2 levels	42	9	100	415	98	46	8	21%	2.4	22.9%	10.8%	12.1%	1.9%	2.69	3.56	+1.2
2025	29	MIX MLE	2 levels	42	9	100	415	98	46	8	21%	2.4	22.9%	10.8%	12.1%	1.9%	2.69	3.56	+1.2
2025	29	MIX RAW	2 levels	42	9	100	415	98	46	8	21%	2.4	23.6%	11.1%	12.5%	1.9%	2.69	3.56	+1.2
2026	30	MLB MLE	Texas Rangers	58	1	72	271	83	16	6	2%	1.2	30.6%	5.9%	24.7%	2.1%	2.12	2.39	+1.9
2026	30	MLB MLE	Texas Rangers	58	1	72	271	83	16	6	2%	1.2	30.6%	5.9%	24.7%	2.1%	2.12	2.39	+1.9
2026	30	MLB RAW	Texas Rangers	58	1	72	271	83	16	6	2%	1.2	30.6%	5.9%	24.7%	2.2%	2.12	2.54	+1.7
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			141	10	212	852	208	78	22	7%	1.5	24.4%	9.2%	15.3%	2.6%	2.76	3.59	+2.4
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	31	MLB	TEX	60	0	63	266	72	24	7	0%	1.1	26.9%	9.0%	17.9%	2.5%	3.61	3.71	+0.6
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	32	MLB MLE	TEX	47	0	50	210	55	20	6	0%	1.1	26.1%	9.4%	16.7%	2.7%	3.83	3.97	+0.3
2029	33	MLB MLE	TEX	36	0	38	159	40	16	5	0%	1.0	25.2%	9.9%	15.4%	3.0%	4.08	4.25	+0.1
2028	32	MLB CTX	TEX	45	0	47	198	52	19	5	0%	1.0	26.1%	9.4%	16.7%	2.7%	3.83	3.97	+0.3
2029	33	MLB CTX	TEX	34	0	36	152	38	15	5	0%	1.1	25.2%	9.9%	15.4%	3.0%	4.08	4.25	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		220	10	295	1203	298	112	32	5%	1.3	24.8%	9.3%	15.5%	2.7%	3.09	3.64	+3.2
/ 200 IP	—	RAW		149	7	200	814	202	76	22	5%	1.3	24.8%	9.3%	15.5%	2.7%	3.09	3.64	+2.2
Career	—	MLE		260	59	514	2146	524	234	59	23%	2.0	24.4%	10.9%	13.5%	2.7%	3.45	3.91	+2.9
/ 200 IP	—	MLE		101	23	200	836	204	91	23	23%	2.0	24.4%	10.9%	13.5%	2.7%	3.45	3.91	+1.9

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2025 AAARound Rock Express · 15 IPFIP 3.23 → 3.57 (+0.35)K% 32.8% → 28.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.84%	—	×0.860	28.24%
BB% (unintentional) /BF	16.42%	—	×0.900	14.78%
HR / BF /BF	1.49%	÷0.913	×1.100	1.80%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 83).

Result: FIP 3.23 → 3.57, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 AAARound Rock Express · 6 IPFIP 3.98 → 3.96 (−0.02)K% 20.8% → 17.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.83%	—	×0.860	17.92%
BB% (unintentional) /BF	20.83%	—	×0.900	18.75%
HR / BF /BF	0.00%	÷0.928	×1.100	0.00%

Result: FIP 3.98 → 3.96, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 AAFrisco RoughRiders · 4 IPFIP 4.68 → 5.68 (+1.00)K% 33.3% → 27.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.33%	—	×0.810	27.00%
BB% (unintentional) /BF	16.67%	—	×1.100	18.33%
HR / BF /BF	4.17%	÷1.080	×1.200	4.63%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 116).

Result: FIP 4.68 → 5.68, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 AAARound Rock Express · 64 IPFIP 2.75 → 3.06 (+0.31)K% 32.7% → 28.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.71%	—	×0.860	28.13%
BB% (unintentional) /BF	10.90%	—	×0.900	9.81%
HR / BF /BF	1.88%	÷1.035	×1.100	2.00%

Result: FIP 2.75 → 3.06, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2022 AAARound Rock Express · 53 IPFIP 5.38 → 6.11 (+0.73)K% 24.3% → 21.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.28%	—	×0.880	21.37%
BB% (unintentional) /BF	12.76%	—	×1.050	13.40%
HR / BF /BF	4.94%	÷0.957	×1.100	5.67%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 91).

Result: FIP 5.38 → 6.11, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2021 AAFrisco RoughRiders · 63 IPFIP 3.61 → 4.38 (+0.77)K% 30.9% → 25.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.88%	—	×0.810	25.01%
BB% (unintentional) /BF	10.29%	—	×1.100	11.32%
HR / BF /BF	3.31%	÷1.114	×1.200	3.57%

Result: FIP 3.61 → 4.38, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2021 AAARound Rock Express · 33 IPFIP 4.34 → 4.93 (+0.59)K% 24.0% → 21.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.97%	—	×0.880	21.10%
BB% (unintentional) /BF	10.96%	—	×1.050	11.51%
HR / BF /BF	3.42%	÷0.958	×1.100	3.93%

Result: FIP 4.34 → 4.93, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2019 A+Down East Wood Ducks · 51 IPFIP 2.51 → 3.35 (+0.83)K% 29.9% → 23.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.85%	—	×0.770	22.99%
BB% (unintentional) /BF	10.95%	—	×1.150	12.59%
HR / BF /BF	1.00%	÷1.152	×1.250	1.08%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 130).

Result: FIP 2.51 → 3.35, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Jacob Latz (OGILVIE)	—	—	3.71	26.9%	9.0%	2.5%	—	4.09	25.7%	16.1%	87	+0.38	—	—	—
Jared Koenig L 2024 · 2.79 FIP	30	SU	2.79	23.8%	7.2%	1.4%	.279	2.99	23.6%	15.9%	86	+0.20	2.79	475	71
George Sherrill L 2008 · 3.86 FIP	31	SU	3.86	24.3%	11.3%	2.5%	.277	3.38	20.6%	12.4%	141	-0.48	2.74	323	70
Damaso Marte L 2006 · 3.33 FIP	31	SU	3.33	24.7%	9.8%	2.0%	.284	3.05	26.2%	17.3%	124	-0.28	2.41	495	70
Brian Moran L 2019 · 3.40 FIP	30	SU	3.40	26.9%	10.0%	2.4%	.269	2.99	25.5%	18.5%	99	-0.41	1.80	421	69
Brian Fuentes L 2007 · 3.68 FIP	31	SU	3.68	22.0%	9.0%	2.4%	.235	3.19	25.4%	16.4%	166	-0.49	2.08	602	69
Raul Valdes L 2010 · 4.02 FIP	32	SU	4.02	21.4%	9.9%	2.7%	.301	3.14	27.4%	22.5%	78	-0.88	2.29	160	69
Jake Diekman L 2018 · 3.27 FIP	31	SU	3.27	27.2%	11.9%	1.7%	.312	3.41	31.7%	18.8%	144	+0.14	2.27	592	66
Buddy Boshers L 2019 · 3.73 FIP	31	SU	3.73	25.3%	10.4%	2.6%	.294	—	—	—	—	—	2.76	239	66
Nick Hagadone L 2017 · 3.74 FIP	31	SU	3.74	22.6%	9.3%	2.5%	.267	—	—	—	—	—	2.97	141	66
Hideki Okajima L 2007 · 3.05 FIP	31	SU	3.05	23.2%	5.5%	2.2%	.234	3.87	20.2%	12.6%	169	+0.82	3.05	238	66
Pedro Feliciano L 2008 · 3.90 FIP	31	SU	3.90	21.1%	7.6%	2.9%	.309	3.02	22.1%	14.9%	122	-0.88	2.69	378	65
Ryan Buchter L 2018 · 3.54 FIP	31	SU	3.54	25.2%	8.6%	2.7%	.269	4.95	24.3%	12.6%	78	+1.41	2.37	296	65
Andrew Barbosa L 2017 · 4.67 FIP	29	SU	4.67	20.2%	9.6%	3.8%	.301	—	—	—	—	—	2.70	175	65
Yuki Matsui L 2024 · 3.63 FIP	28	SU	3.63	26.8%	8.9%	3.0%	.242	4.25	23.9%	12.6%	140	+0.62	3.63	203	64
Jeremy Bleich L 2018 · 3.69 FIP	31	SU	3.69	20.3%	6.6%	2.7%	.296	4.41	20.1%	13.1%	33	+0.72	3.20	241	64
Colt Hynes L 2016 · 3.55 FIP	31	SU	3.55	22.3%	4.8%	3.1%	.353	3.75	14.1%	9.5%	56	+0.20	3.42	169	64
Mike Myers L 2000 · 3.27 FIP	31	SU	3.27	23.2%	11.9%	1.1%	.195	3.81	17.3%	6.8%	113	+0.54	3.22	533	63
Michael Gonzalez L 2009 · 2.91 FIP	31	SU	2.91	28.6%	7.9%	2.2%	.254	3.28	24.8%	15.4%	114	+0.37	1.45	454	63
Edward Paredes L 2018 · 3.81 FIP	31	SU	3.81	22.7%	11.9%	2.0%	.351	5.10	21.5%	14.2%	18	+1.29	2.36	130	63
Randy Flores L 2006 · 4.00 FIP	31	SU	4.00	20.4%	9.7%	2.5%	.333	3.30	18.1%	10.5%	93	-0.70	2.51	250	62

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	1.8	61	25.2%	10.0%	1.02	3.19
Diego Castillo ('24)	1.4	56	27.2%	9.6%	1.07	3.20
Scott Strickland ('10)	1.2	60	23.4%	10.8%	0.93	3.38
Mychal Givens ('23)	2.3	58	28.2%	10.0%	1.05	3.47
Carlos Diaz ('82-'86, 2 WAR*)	1.3	52	25.1%*	8.7%*	0.91*	3.84*
Rob Murphy ('85-'95, 6 WAR*)	3.1	69	25.2%*	9.2%*	1.07*	3.94*
Mike Schooler ('88-'93, 5 WAR*)	1.5	49	26.9%*	8.0%*	0.96*	3.68*